(Q35314535)

7 August 2017

title

Comparing adaptive and fixed bandwidth-based kernel density estimates in spatial cancer epidemiology (English)

1 reference

7 August 2017

Edzer Pebesma

4

0 references

author name string

Dorothea Lemke

1

1 reference

7 August 2017

Volkmar Mattauch

2

1 reference

7 August 2017

Oliver Heidinger

3

1 reference

7 August 2017

Hans-Werner Hense

5

1 reference

7 August 2017

publication date

31 March 2015

1 reference

International Journal of Health Geographics

7 August 2017

published in

1 reference

7 August 2017

volume

14

1 reference

7 August 2017

page(s)

15

1 reference

Creative Commons Attribution 4.0 International

7 August 2017

copyright license

start time

31 March 2015

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

0 references

cites work

A cross-sectional study on informed choice in the mammography screening programme in Germany (InEMa): a study protocol

1 reference

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Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing methods: a simulation study

12 July 2018

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Inference based on kernel estimates of the relative risk function in geographical epidemiology.

12 July 2018

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A comparison of spatial clustering and cluster detection techniques for childhood leukemia incidence in Ohio, 1996-2003

12 July 2018

1 reference

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Assessing spatio-temporal variability of risk surfaces using residential history data in a case control study of breast cancer

12 July 2018

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Estimation of relative risk functions

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4389444

Jointly optimal bandwidth selection for the planar kernel-smoothed density-ratio

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4389444

Adaptive kernel estimation of spatial relative risk

26 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4389444

Nonparametric spatial analysis to detect high-risk regions for schistosomiasis in Guichi, China

26 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4389444

Descriptive spatial epidemiology of subclinical Salmonella infection in finisher pig herds: application of a novel method of spatially adaptive smoothing.

26 September 2018

1 reference

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A classification of disease mapping methods.

26 September 2018

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Modelling exposure opportunities: estimating relative risk for motor neurone disease in Finland

26 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4389444

Non-parametric estimation of spatial variation in relative risk.

26 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4389444

Using remote sensing and census tract data to improve representation of population spatial distribution: case studies in the Brazilian Amazon

26 September 2018

1 reference

Crossref

https://api.crossref.org/works/10.1186%2FS12942-015-0005-9

Identification of high-risk regions for schistosomiasis in the Guichi region of China: an adaptive kernel density estimation-based approach

21 January 2018

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12 December 2020

An application of density estimation to geographical epidemiology

1 reference

12 December 2020

Narrowing the Equity Gap: The Impact of Organized versus Opportunistic Cancer Screening in Catalonia (Spain)

1 reference

12 December 2020

Identifying high-risk regions for schistosomiasis in Guichi, China: a spatial analysis

1 reference

12 December 2020

10.1186/S12942-015-0005-9

Identifiers

DOI

1 reference

7 August 2017

1 reference

7 August 2017

1 reference